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TarsyAI Integration

ApproveThis manages your TarsyAI Integration approvals.

April 17, 2025

Integration Category: Ai Tools

Why Combine ApproveThis with TarsyAI?

TarsyAI empowers teams to deploy AI assistants that handle customer interactions, lead qualification, and real-time messaging. But even the smartest AI needs human oversight for critical decisions. This is where ApproveThis transforms the game. By connecting TarsyAI’s automated conversations to ApproveThis’ structured approval workflows through Zapier, businesses gain a powerful balance between automation and human judgment.

Together, these platforms eliminate bottlenecks in customer-facing processes. Marketing teams can validate high-value leads faster, support managers can review sensitive chatbot interactions before escalation, and sales leaders can ensure compliance in automated follow-ups – all without leaving their existing tools.

Key Benefits Across Teams

For Marketing Teams: Qualify Leads Without Delay

When TarsyAI identifies a new lead through chat interactions or form submissions, ApproveThis automatically routes the lead details to relevant stakeholders. Approval thresholds let junior staff handle routine leads while escalating high-value opportunities to sales directors. Since approvers only need an email address (not a TarsyAI license), external agencies or partner organizations can participate seamlessly in the vetting process.

For Customer Support: Maintain Quality at Scale

AI assistants sometimes encounter edge cases in customer conversations. By triggering approval requests for specific message types (like refund inquiries or contract changes), support leads can review TarsyAI’s proposed responses before they’re sent. ApproveThis’ vacation delegation ensures continuous coverage during holidays, preventing message delays.

For Operations: Enforce Compliance Automatically

Financial institutions using TarsyAI for client onboarding can require manager approval for high-risk account changes. ApproveThis’ calculated fields automatically flag transactions exceeding predetermined thresholds, while audit trails in both platforms create airtight compliance records.

Three Impactful Use Cases

1. High-Stakes Chat Moderation

Healthcare providers using TarsyAI for patient intake chatbots can set approval rules for messages containing specific keywords like "emergency" or "allergic reaction." When triggered, ApproveThis routes these conversations to on-call staff via SMS or email with response deadlines. The hospital in Boston using this method reduced emergency response time by 22% while maintaining 24/7 automation coverage.

2. Lead Handoff Automation

A SaaS company integrated their TarsyAI-powered contact form with ApproveThis to filter demo requests. Leads scoring above 80 in their AI qualification model bypass human approval and trigger automatic calendar invites. Marginal leads get routed to sales managers for review, cutting their sales team’s low-value meeting time by 37%.

3. Contractual AI Responses

Legal tech firms now use TarsyAI to draft contract amendments, with ApproveThis requiring partner sign-off before sharing with clients. The approval workflow includes dynamic checklists based on amendment type – NDAs skip junior associates and go straight to partners, while payment term changes require finance team consensus.

Implementation Made Simple

Connecting TarsyAI and ApproveThis takes under 15 minutes through Zapier:

  1. Create a Zapier account if you don’t have one
  2. Choose TarsyAI as your trigger app (New Chat, New Lead, or New Message)
  3. Select ApproveThis as your action app (Create Request)
  4. Map TarsyAI’s data fields to ApproveThis’ approval template

Pro Tip: Use ApproveThis’ calculated fields to auto-populate urgency levels based on TarsyAI’s lead score or message sentiment analysis. This enables adaptive routing without manual setup for every scenario.

Critical Features That Make It Work

Approval Thresholds Meet AI Scores

Configure ApproveThis to auto-approve TarsyAI interactions with confidence scores above 95% while flagging lower-confidence outputs for human review. Financial services clients using this method reduced false positives in fraud detection chats by 41%.

Email Approvals for External Teams

Third-party vendors reviewing TarsyAI’s procurement chatbot requests can approve/reject directly from Gmail without accessing internal systems. Approval status syncs back to TarsyAI to trigger order confirmations or renegotiations.

Real-Time Audit Trails

Every approval decision in ApproveThis logs the associated TarsyAI conversation ID. Regulated industries use this to demonstrate compliance during audits, showing exactly which AI-generated content was reviewed and by whom.

Who Gains the Most?

Enterprise Sales Organizations

Teams using TarsyAI for outbound messaging can require manager approval before sending proposals exceeding $50K. ApproveThis routes these requests based on deal size, automatically involving legal teams for contracts and finance for payment terms.

Healthcare Providers

Patient discharge instructions generated by TarsyAI nurses’ assistants get automatically routed to attending physicians via ApproveThis. The system prioritizes approvals based on patient acuity scores pulled from EHR integrations.

E-commerce Brands

Merchants using TarsyAI for return authorization chats can auto-approve routine requests while flagging high-value or frequent returns. ApproveThis’ conditional workflows ensure VIP customers bypass standard approval queues.

Getting Started

To implement these workflows:

  • Define 3-5 critical decision points in your current TarsyAI flows
  • Create corresponding approval templates in ApproveThis
  • Use Zapier to connect triggers/actions

Most teams see ROI within 30 days through reduced decision latency and error rates. A/B test automated vs manual approvals for different message types to optimize your mix.

Final Thoughts

The combination of TarsyAI’s conversational intelligence and ApproveThis’ structured governance creates what Gartner calls “augmented decision-making” – AI handles the heavy lifting while humans focus on high-judgment calls. This integration isn’t about replacing people, but about amplifying their impact through strategic automation.

Ready to transform your AI workflows from experimental to operational? Start your ApproveThis trial or book a custom demo to see real-time integration with TarsyAI. For technical teams, explore our Zapier documentation to build advanced workflows.

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Best Approval Workflows for TarsyAI

Suggested workflows (and their Zapier components) for TarsyAI

Create approval requests for new chats

When a new chat is initiated in TarsyAI, this automation sends the chat data to ApproveThis to start an approval request. This helps streamline communication reviews and ensures that important messages are formally approved. *Note: Configure the approval fields as needed for your workflow.*

Zapier Components

TarsyAI Logo

Trigger

New Chat

Triggers when a new chat is created.

Action

Create Request

Creates a new request, probably with input from previous steps.

Create approval requests for new leads

When TarsyAI detects a new lead, this integration forwards the lead information to ApproveThis to initiate an approval request. This automation ensures that each lead is reviewed and approved before follow-up actions are taken. *Note: Adjust the approval criteria to suit your lead qualification process.*

Zapier Components

TarsyAI Logo

Trigger

New Lead

Triggers when a new lead is created.

Action

Create Request

Creates a new request, probably with input from previous steps.

Create approval requests for new messages

When a new message is received in TarsyAI, this automation generates an approval request in ApproveThis. It ensures that important communications are verified and acted upon according to your approval workflow. *Note: Ensure that message details are mapped correctly to the approval request fields.*

Zapier Components

TarsyAI Logo

Trigger

New Message

Triggers when a new message is created.

Action

Create Request

Creates a new request, probably with input from previous steps.